Improvement of Production System Reliability Using Selected KPIs

Abstract Machine failures in each production system cause an increase in costs and delays in order execution. Therefore, companies decide to introduce solutions that detect and immediately remove worrying symptoms before more serious consequences occur. Unfortunately, not all failures can be avoided – in such cases, the most important thing is the quick reaction of machine operators, maintenance and production managers. This paper identifies reliability indicators and presents the steps and effects of implementing selected KPIs (Key Performance Indicators), which aim at the production process. For the machines in which a failure occurred in the surveyed period, technical availability, Mean Times Between Failures (MTBF), Mean Down Time (MDT), technical object readiness, and the downtime coefficient were calculated.